公开(公告)号：US20240028972A1

公开(公告)日：2024-01-25

申请号：US17815448

申请日：2022-07-27

Applicant: Adobe Inc.

Inventor： Christopher Tensmeyer ,  Nikolaos Barmpalios ,  Sruthi Madapoosi Ravi ,  Ruchi Deshpande ,  Varun Manjunatha ,  Smitha Bangalore Naresh ,  Priyank Mathur ,  Oghenetegiri Sido

IPC: G06N20/20 ,  G06K9/62

CPC classification number: G06N20/20 ,  G06K9/6262 ,  G06K9/6256

Abstract: Techniques for training for and determining a confidence of an output of a machine learning model are disclosed. Such techniques include, in some embodiments, receiving, from the machine learning model configured to receive information associated with a data object, information associated with a predicted structure for the data object; encoding, using a second machine learning model, the information associated with the predicted structure for the data object to produce encoded input channels; evaluating, using the second machine learning model, the information associated with the data object with the encoded input channels; and based on the evaluating, determining, using the second machine learning model, a probability of correctness of the predicted structure for the data object.